TY - GEN
T1 - Exploring the Spatial Relationship Between Demographic Indicators and the Built Environment of a City
AU - Singh, Ridhima
AU - Dumas, Melissa Allen
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - In addition to global and regional drivers of urbanization, neighborhood development in urban areas across the United States has been shown to be influenced by various local socio-economic factors. These factors, despite varying across socio-economic groups, have large implications regarding a population’s vulnerability to extreme climate events, including heat waves resulting in adverse health impacts. Additionally, the demographics of an urban area can shape its infrastructural characteristics, causing different populations groups to face varying levels of risks and benefits. As a result, the urban morphology and socio-economic characteristics of a city are deeply intertwined; however, their interactions on a finer scale are not yet fully understood. This research aims to better understand the relationships between various socio-economic factors and the built environment of a city, considering variability in building types, and temperature patterns. This research focuses on the city of Las Vegas, NV, and uses spatial data analysis to understand the correlation between of socio-economic characteristics, building morphology, building characteristics, and temperature data to understand the correlation between these various factors. Results of these research shows there is a distinct pattern of clustering of socio-economic characteristics with the city and there is a distinct correlation between age and cost, socio-economic characteristics, and locations of high heat distribution within the city.
AB - In addition to global and regional drivers of urbanization, neighborhood development in urban areas across the United States has been shown to be influenced by various local socio-economic factors. These factors, despite varying across socio-economic groups, have large implications regarding a population’s vulnerability to extreme climate events, including heat waves resulting in adverse health impacts. Additionally, the demographics of an urban area can shape its infrastructural characteristics, causing different populations groups to face varying levels of risks and benefits. As a result, the urban morphology and socio-economic characteristics of a city are deeply intertwined; however, their interactions on a finer scale are not yet fully understood. This research aims to better understand the relationships between various socio-economic factors and the built environment of a city, considering variability in building types, and temperature patterns. This research focuses on the city of Las Vegas, NV, and uses spatial data analysis to understand the correlation between of socio-economic characteristics, building morphology, building characteristics, and temperature data to understand the correlation between these various factors. Results of these research shows there is a distinct pattern of clustering of socio-economic characteristics with the city and there is a distinct correlation between age and cost, socio-economic characteristics, and locations of high heat distribution within the city.
KW - Environmental justice
KW - Social equity
KW - Socio-economic indicators
KW - Urbanization
UR - http://www.scopus.com/inward/record.url?scp=85127021259&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-96498-6_27
DO - 10.1007/978-3-030-96498-6_27
M3 - Conference contribution
AN - SCOPUS:85127021259
SN - 9783030964979
T3 - Communications in Computer and Information Science
SP - 442
EP - 454
BT - Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation - 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Revised Selected Papers
A2 - Nichols, [given-name]Jeffrey
A2 - Maccabe, [given-name]Arthur ‘Barney’
A2 - Nutaro, James
A2 - Pophale, Swaroop
A2 - Devineni, Pravallika
A2 - Ahearn, Theresa
A2 - Verastegui, Becky
PB - Springer Science and Business Media Deutschland GmbH
T2 - 21st Smoky Mountains Computational Sciences and Engineering Conference, SMC 2021
Y2 - 18 October 2021 through 20 October 2021
ER -